Abstract
The article describes the method of signal-to-noise ratio estimation for speech signals. The proposed method is based on the theory of active perception. Within the scope of work assumes that the speech signal includes a desired signal (system formation) and noise. The conversions, which were described in the theory of active perception, allow allocating the desired signal and solving the problem of signal to noise ratio estimation. The work includes experimental data confirming workability of the proposed method.
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Gai, V. (2014). Information Approach to Signal-to-Noise Ratio Estimation of the Speech Signal. In: Dudin, A., Nazarov, A., Yakupov, R., Gortsev, A. (eds) Information Technologies and Mathematical Modelling. ITMM 2014. Communications in Computer and Information Science, vol 487. Springer, Cham. https://doi.org/10.1007/978-3-319-13671-4_16
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DOI: https://doi.org/10.1007/978-3-319-13671-4_16
Publisher Name: Springer, Cham
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